# Chapter 4-6 Psychstats Pre-test

12 Questions | Total Attempts: 41  Settings  -EQUATIONS 1-tailed 2-tailed. 05 +/- 1. 64 +/- 1. 96. 01 +/- 2. 33 +/- 2. 57 σ2 m = σ2/N Z = (M – μm) / σ m Z = (x – μ) / σd = (μ1- μ2)/σ

• 1.
A researcher is testing whether students who sleep well the night before an exam have better scores than students who don’t sleep well the night before an exam. Which is “population 1”?
• A.

Students who don’t sleep well

• B.

Students who do sleep well

• C.

Students at Maryville

• D.

• 2.
Using the information from Question 1, what is the appropriate research hypothesis?
• A.

μ1 < μ2

• B.

μ1 = μ2

• C.

M1 > M2

• D.

μ1 > μ2

• 3.
Continuing from Question 1, we know μ = 85 and σ = 7. If a student from Population 1 has a score of 95, what can the researcher conclude? (Assume .05 significance level)
• A.

Since 1.42 < 1.96, reject the null

• B.

Since 1.96 > 1.42, reject the null

• C.

Since 1.42 < 1.64, accept the null

• D.

Since -1.42 < 1.64, accept the null

• 4.
In the hypothesis-testing process, we compare the actual sample’s score to:
• A.

Null Distribution

• B.

Population 1

• C.

Comparison Distribution

• D.

Kurtotic Distribution

• 5.
A researcher believes that by taking vitamins, people will increase the speed at which they read. He tests this hypothesis by timing multiple individuals who have taken vitamins as they read a book. Is this a one-tailed or two-tailed test?
• A.

A two-tailed test, because he wants to see if they increase reading speed and lower their time to read a book

• B.

A one-tailed test in the positive end, because he wants to see if people increase their words per minute reading speed

• C.

A one-tailed test in the negative end, because he wants to see if people take less time to read their book

• D.

It can be either.

• 6.
In a population, the μ = 5, M = 7, N= 36, and σ = 2.What is μm?  (WRITE THESE #S DOWN, AS THEY REFER TO THE NEXT QUESTION TOO)
• A.

2.5

• B.

5

• C.

2

• D.

5.2

• 7.
Using the information from Question 6, what is σ m?
• A.

.33

• B.

1

• C.

3.5

• D.

1.3

• 8.
Using the information from Question 6, what are the upper and lower confidence limits of a 95% Confidence interval? (Hint: 1.96)
• A.

4.35, 5.65

• B.

1.08, 8.92

• C.

6.35, 7.65

• D.

3.08, 10.92

• 9.
A researcher has made an error in which she has rejected the null hypothesis when she should not have. What type of error is this?
• A.

Type III

• B.

Type B

• C.

Type II

• D.

Type I

• 10.
M= 210, μ= 200, and σ=48. What can we say about the effect size as it compares a sample to the population?
• A.

D = -.21; negative effect

• B.

D = .21; medium effect

• C.

D = .21; small effect

• D.

D = -.21; small effect

• 11.
Statistical Power is:
• A.

The probability that the study will give a significant result if the research hypothesis is false

• B.

The probability that the study will give a significant result if the research hypothesis is true

• C.

How powerful a study's effect size is

• D.

The probability of making a Type I Error

• 12.
When the population mean is unknown, the best estimate of the population mean is ______________
• A.

The Mean of the Distribution of Means

• B.

The Standard Error

• C.

The Sample Mean

• D.

The Median Back to top